Scientific Visualization
Scientific visualization, sometimes referred to as visual data analysis, uses the graphical representation of data as a means of gaining understanding and insight into the data. Scientific visualization research at SCI has focused on applications spanning computational fluid dynamics, medical imaging and analysis, and fire simulations. Research involves novel algorithm development to building tools and systems that assist in the comprehension of massive amounts of scientific data. In helping researchers to comprehend spatial and temporal relationships between data, interactive techniques provide better cues than noninteractive techniques; therefore, much of scientific visualization research focuses on better methods for visualization and rendering at interactive rates.
Visualization Project Sites:
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Multi-Threaded Streaming Pipeline For VTK. H.T. Vo, C.T. Silva. SCI Technical Report, No. UUSCI-2009-005, SCI Institute, University of Utah, 2009.
In this document, we describe the implementation details of our proposal on how to modify the VTK pipeline execution framework to support improved streaming and multi-threaded capabilities. We believe the functionality reported here is the best way to start adding this functionality to VTK. The plan would be to first settle on the basic functionality; after that, it should not be hard to continue adding the rest of the framework to VTK (e.g., support for streaming unstructured data structures and GPUs).
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Research 
